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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1215
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    Explanations

    technical terms related to task management and software development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tasks, goals, and abilities in a structured process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sic
    -0.77
    ¬¼
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    quartered
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    ny
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    quarters
    -0.61
    luaj
    -0.61
    76561
    -0.61
    grown
    -0.59
    igl
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    sav
    -0.58
    POSITIVE LOGITS
    igslist
    0.82
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    0.75
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    0.71
     categories
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    0.69
     subsc
    0.68
    Category
    0.67
    mble
    0.67
     category
    0.67
     fulfillment
    0.66
    Activations Density 0.351%

    No Known Activations